Knockdown of p66Shc Alters Lineage-Associated Transcription Factor Expression in Mouse Blastocysts
Bibliographic record
Abstract
The p66Shc adaptor protein regulates apoptosis and senescence during early mammalian development. However, p66Shc expression during mouse preimplantation development is upregulated at the blastocyst stage. Our objective was to determine the biological function of p66Shc during mouse blastocyst development. In this study, we demonstrate that a reduced p66Shc transcript abundance following its short interfering RNA (siRNA)-mediated knockdown alters the spatiotemporal expression of cell lineage-associated transcription factors in the inner cell mass (ICM) of the mouse blastocyst. P66Shc knockdown blastocysts restrict OCT3/4 earlier to the inner cells of the early blastocyst and have ICMs containing significantly higher OCT3/4 levels, more GATA4-positive cells, and fewer NANOG-positive cells. P66Shc knockdown blastocysts also show a significantly reduced ability to form ICM-derived outgrowths when explanted in vitro. The increase in cells expressing primitive endoderm markers may be due to increased ERK1/2 activity, as it is reversed by ERK1/2 inhibition. These results suggest that p66Shc may regulate the relative abundance and timing of lineage-associated transcription factor expression in the blastocyst ICM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".